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I’m building reporting for my company and what you said mirrors my experience nearly 100%.

I’m a backend developer so I know what it takes to build a half decent reporting system. Writing all those queries, slice and dice charts and what not takes real time and effort. All that has been outsourced to Claude Code. I now focus on ensuring that the system is sound architecturally and that useful reports are being surfaced.

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How are you dealing with the problem of making sure the reporting queries are correct?

My experience so far is that it's harder and slower for me to understand the genAI code than to write it myself.

Skipping thorough comprehension seems to be the popular choice in my workplace, but it's not one I can justify.

I make sure to understand the query to the fullest extent. I run explain plan to make sure no nasty things like full table scans are happening.

I guess just like any algorithm it’s easier to verify a solution than come up with one.

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